CloudForge MCP Server

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden. It mentions the tool's purpose but lacks behavioral details such as response format, latency, rate limits, authentication requirements, or whether it's a read-only or state-changing operation. The description doesn't contradict annotations (none exist), but it provides minimal behavioral context beyond the basic function.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two sentences, front-loaded with the core action and followed by specific use cases. Every sentence earns its place by clarifying purpose and context without redundancy or unnecessary details, making it efficient and well-structured.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity (simple chat interface with 2 parameters) and lack of annotations/output schema, the description is adequate but incomplete. It covers purpose and usage context but misses behavioral details like response handling or error conditions. For a tool with no structured safety or output info, more completeness would enhance agent understanding.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema already documents both parameters (message and provider). The description adds no additional parameter semantics beyond what's in the schema (e.g., it doesn't elaborate on message format or provider usage). With high schema coverage, the baseline is 3, as the description doesn't compensate but also doesn't detract.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the specific action ('Send a message') and target resource ('CloudForge AI Architect'), with explicit examples of use cases (IaC advice, best practices, cost optimisation, security reviews, cloud infrastructure questions). It distinguishes from sibling tools like cloudforge_generate_terraform or cloudforge_export_terraform_from_diagram by focusing on conversational advice rather than code generation or diagram operations.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides clear context for when to use this tool ('Use for IaC advice, best practices, cost optimisation, security reviews, or any cloud infrastructure question'), giving specific domains. However, it doesn't explicitly state when NOT to use it or name alternatives among sibling tools (e.g., when to use cloudforge_generate_terraform instead for code generation).

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.